Crypto Volume Profiles with QuestDB and Julia

QuestDB is an open-source database designed for high throughput ingestion and enhanced SQL analytics, making it particularly suitable for market data and tick data analysis. The text explores how QuestDB, in conjunction with the Julia programming language, can be used to analyze Bitcoin's intraday trading volume profiles. By importing CSV files into QuestDB using its REST API, users can efficiently manage large datasets and perform complex queries to identify trading patterns, such as daily volume trends and intraday volume profiles. The analysis reveals that Bitcoin trading volumes peak in the afternoons when the U.S. markets open and that weekends exhibit less extreme trading activity, with Sunday trading extending into the early hours of Monday. The document also discusses the use of LOESS smoothing to interpret trading data more effectively, emphasizing the importance of understanding trading volumes for algorithmic trading strategies. The insights gained from this analysis can help traders optimize their strategies by avoiding trading during illiquid periods, thus minimizing potential costs.